| A papier-mâché approach to learning 3d surface generation T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 584 | 2018 |
| Real-time non-rigid reconstruction using an RGB-D camera M Zollhöfer, M Nießner, S Izadi, C Rehmann, C Zach, M Fisher, C Wu, ... ACM Transactions on Graphics (ToG) 33 (4), 1-12, 2014 | 409 | 2014 |
| 3dmatch: Learning local geometric descriptors from rgb-d reconstructions A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 405 | 2017 |
| Example-based Synthesis of 3D Object Arrangements M Fisher, D Ritchie, M Savva, T Funkhouser, P Hanrahan SIGGRAPH, 2012 | 297 | 2012 |
| Characterizing structural relationships in scenes using graph kernels M Fisher, M Savva, P Hanrahan ACM SIGGRAPH 2011 papers, 1-12, 2011 | 192 | 2011 |
| Multi-content gan for few-shot font style transfer S Azadi, M Fisher, VG Kim, Z Wang, E Shechtman, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 186 | 2018 |
| Design of tangent vector fields M Fisher, P Schröder, M Desbrun, H Hoppe ACM Transactions on Graphics (TOG) 26 (3), 56, 2007 | 165 | 2007 |
| 3d-coded: 3d correspondences by deep deformation T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Proceedings of the European Conference on Computer Vision (ECCV), 230-246, 2018 | 144 | 2018 |
| Context-based search for 3d models M Fisher, P Hanrahan ACM SIGGRAPH Asia 2010 papers, 1-10, 2010 | 135 | 2010 |
| Probabilistic color-by-numbers: Suggesting pattern colorizations using factor graphs S Lin, D Ritchie, M Fisher, P Hanrahan ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013 | 90 | 2013 |
| SceneGrok: Inferring action maps in 3D environments M Savva, AX Chang, P Hanrahan, M Fisher, M Nießner ACM transactions on graphics (TOG) 33 (6), 1-10, 2014 | 85 | 2014 |
| Activity-centric scene synthesis for functional 3D scene modeling M Fisher, M Savva, Y Li, P Hanrahan, M Nießner ACM Transactions on Graphics (TOG) 34 (6), 1-13, 2015 | 83 | 2015 |
| An algorithm for the construction of intrinsic Delaunay triangulations with applications to digital geometry processing M Fisher, B Springborn, P Schröder, AI Bobenko Computing 81 (2-3), 199-213, 2007 | 82 | 2007 |
| Pigraphs: learning interaction snapshots from observations M Savva, AX Chang, P Hanrahan, M Fisher, M Nießner ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016 | 77 | 2016 |
| Learning elementary structures for 3d shape generation and matching T Deprelle, T Groueix, M Fisher, VG Kim, BC Russell, M Aubry arXiv preprint arXiv:1908.04725, 2019 | 71 | 2019 |
| Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. JF Landy, ML Jia, IL Ding, D Viganola, W Tierney, A Dreber, ... Psychological Bulletin 146 (5), 451, 2020 | 60 | 2020 |
| BAE-NET: branched autoencoder for shape co-segmentation Z Chen, K Yin, M Fisher, S Chaudhuri, H Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 59 | 2019 |
| Combining Inertial Navigation and ICP for Real-time 3D Surface Reconstruction. M Nießner, A Dai, M Fisher Eurographics (Short Papers), 13-16, 2014 | 54 | 2014 |
| System for use in determining network operational characteristics E Mc Bride US Patent App. 10/388,045, 2003 | 54 | 2003 |
| 3dmatch: Learning the matching of local 3d geometry in range scans A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser CVPR 1 (2), 4, 2017 | 51 | 2017 |
Patrick HanrahanStanford UniversityVerified email at cs.stanford.edu
